Accueil › Annuaire des chercheurs › Cherif Si‐Moussa
Cherif Si‐Moussa
Affiliation : University Yahia Fares of Medea
- 32Publications (affiliation algérienne)
- 35Publications au total
- 607Citations
- 14Indice h
Profil de recherche
Cherif Si‐Moussa compte 32 publications référencées (2008–2026). Ses travaux paraissent principalement dans « International Journal of Quantum Chemistry », « Kemija u industriji » et « All Sciences Abstracts ». Son article le plus cité, « A Quantitative Structure Activity Relationship for acute oral toxicity of pesticides on rats: Validation, domain of application and predicti » (2015), a été cité 102 fois. 5 de ces publications datent des trois dernières années d’activité. Ses travaux sont cosignés avec au moins 12 chercheurs.
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Créer mon profil gratuit Ajouter mes publicationsDomaines de recherche
- Phase Equilibria and Thermodynamics
- Computational Drug Discovery Methods
- Ionic liquids properties and applications
- Machine Learning in Materials Science
- Crystallization and Solubility Studies
Publications (32)
- Integrative deep learning strategies to enhance early-stage drug discovery: optimizing computational structure–activity modeling for pharmacotherapeutic innovation
- Ligand-based and structure-based approaches for the identification of potential SARS-CoV-2 3CLpro inhibitors
- Quantitative structure‐property relationship techniques for predicting carbon dioxide solubility in ionic liquids using machine learning methods
- Contributions to the development of prediction models for the toxicity of ionic liquids
- Hybrid Improved Grey Wolf Support Vector Regression Algorithm for Modeling Solubilities of APIs in Pure Ionic Liquids: σ-Profile Descriptors
- A new hybrid quantitative structure property relationships‐support vector regression ( QSPR‐SVR ) approach for predicting the solubility of drug compounds in supercritical carbon dioxide
- Machine Learning and Neural Networks for Modelling the Retention of PPhACs by NF/RO
- Decision Tree Regressor for predicting the solubility of Chlorothiazide in Supercritical Carbon Dioxide with ethanol as a co-solvent
- Modelling the Solubility of Metformin in Supercritical Carbon Dioxide using a k-Nearest Neighbors Regressor
- An Arithmetic Optimization Algorithm–Support Vector Regression Approach for Predicting Drug Solubility in Supercritical Carbon Dioxide
- QSPR Modelling of the Solubility of Drug and Drug‐like Compounds in Supercritical Carbon Dioxide
- Machine learning approach for the prediction of surface tension of binary mixtures containing ionic liquids using σ‐profile descriptors
- Computing Techniques for Modeling the Retention of Polar Pharmaceutical Active Compounds by Membranes
- Dragonfly-Support Vector Machine for Regression Modeling of the Activity Coefficient at Infinite Dilution of Solutes in Imidazolium Ionic Liquids Using σ-Profile Descriptors
- CMC of diverse Gemini surfactants modelling using a hybrid approach combining SVR-DA
- Artificial Neural Network Models for Prediction of Density and Kinematic Viscosity of Different Systems of Biofuels and Their Blends with Diesel Fuel. Comparative Analysis
- Modeling the activity coefficient at infinite dilution of water in ionic liquids using artificial neural networks and support vector machines
- Semi-empirical correlation of solid solute solubility in supercritical carbon dioxide: Comparative study and proposition of a novel density-based model
- Kinetic Modeling and Parameters Identification Based on Metaheuristic Optimization Techniques for Extraction Process of Marrubium vulgare L. Essential Oil
- Environmental Toxicity of Pesticides, and Its Modeling by QSAR Approaches
- Estimation of Properties of Liquid-Vapor Mixture of Some Refrigerants at High Pressure for Solar- Photovoltaic Refrigeration
- Novel density-based model for the correlation of solid drugs solubility in supercritical carbon dioxide
- Artificial neural network-based equation to predict the toxicity of herbicides on rats
- Modeling and Optimization of the Operating Conditions ofMarrubium vulgareL. Essential Oil Extraction Process: Kinetic Parameters Estimation through Genetic Algorithms
- A Quantitative Structure Activity Relationship for acute oral toxicity of pesticides on rats: Validation, domain of application and prediction
- Novel approach for estimating solubility of solid drugs in supercritical carbon dioxide and critical properties using direct and inverse artificial neural network (ANN)
- Prediction of Acute Herbicide Toxicity in Rats from Quantitative Structure–Activity Relationship Modeling
- Application of PC-SAFT and cubic equations of state for the correlation of solubility of some pharmaceutical and statin drugs in SC-CO2
- Modeling of an industrial process of pleuromutilin fermentation using feed-forward neural networks
- Optimization of culture conditions for the production of Pleuromutilin from Pleurotus Mutilus using a hybrid method based on central composite design, neural network, and particle swarm optimization
- COMPARISON BETWEEN NEURONAL AND EXPERIMENTAL CHARACTERIZATION OF INTEGRATED COLLECTOR-STORAGE SOLAR WATER HEATERS
- Prediciton of high-pressure vapor liquid equilibrium of six binary systems, carbon dioxide with six esters, using an artificial neural network model
Revues de publication
- International Journal of Quantum Chemistry × 2
- Kemija u industriji × 2
- All Sciences Abstracts × 2
- Chemical Industry and Chemical Engineering Quarterly × 2
- Neural Computing and Applications × 2
- Comptes Rendus Chimie × 2
Publications par année
- 20261
- 20251
- 20243
- 20235
- 20223
- 20203
- 20191
- 20181
- 20173
- 20163
Collaborations
Établissements partenaires : University of Blida · Renewable Energy Development Center · Polytechnic School of Algiers · Hassiba Benbouali University of Chlef · Ziane Achour University of Djelfa
Co-auteurs
- Othmane Benkortbi
- Salah Hanini
- Salah Hanini
- Maamar Laidi
- Imane Euldji
- Latifa Khaouane
- Widad Benmouloud
- Mabrouk Hamadache
- Sarah Rezazi
- Aicha Belghait
- Mohamed Hentabli
- El Abdallah
Données bibliographiques issues d’OpenAlex (base ouverte).
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